| As a new system radar,multi-input multi-output(MIMO)radar can transmit via its antennas multiple waveforms that may be correlated or uncorrelated,and has the ability to process the target echoes through multiple antennas.Compared with its counterpart phased-array radar that transmits scaled versions of a single waveform,the diversity of waveform provides MIMO radar with more degree of freedoms,which is key to achieving performance improvements in terms of target detection,parameter estimation,and interference suppression.However,when MIMO radar is configured with massive antennas and uses high-resolution digital-to-analog converters(DACs)and analog-to-digital converters(ADCs),the system complexity of MIMO radar will increase significantly and the practical application of MIMO radar may be heavily affected.Therefore,it is important to investigate the problems of waveform design and receive processing for MIMO radar with low-resolution DACs/ADCs.To this end,in the context of one-bit DACs/ADCs,this dissertation focuses on the problems of waveform design and receive processing for MIMO radar.The main contribution and novelty of this dissertation are given as follows:1.To further improve the beamforming performance of MIMO radar,a successive convex approximation(SCA)based algorithm is proposed to jointly design the transmit waveform correlation matrix and antenna positions.Then,based on the obtained transmit waveform correlation matrix,a cyclic optimization method is devised to synthesize one-bit transmit waveform for MIMO radar equipped with one-bit DACs.2.To handle the problem of spectrally compatible waveform design for MIMO radar with one-bit DACs,a waveform design method with low complexity and memory usage is devised with the aid of the alternating directions method of multipliers(ADMM),which can guarantee the performance of MIMO radar in terms of transmit beampattern and spectrum compatibility simultaneously,and can be applied to massive MIMO radar.3.To deal with the problem of receive processing for MIMO radar with one-bit ADCs,a linear filtering is applied to the received one-bit signal.Under white Gaussian noise,the relationship between the linear receive filter and target detection performance for one-bit MIMO radar is provided.Then,the receive filter that maximizes the probability of detection subject to a fixed probability of false-alarm is derived.Moreover,a majorization-minimization based algorithm is devised to control the range sidelobe behavior of the receive filter.Finally,the influence of some non-ideal factors on the performance of receive filter is evaluated and the corresponding solutions are given.4.To deal with the problem of transmit waveform design and receive processing for MIMO radar with one-bit DACs/ADCs,the detection performance of one-bit MIMO radar in the presence of signal-dependent interference,including the probabilities of detection and false-alarm,is derived as a function w.r.t.the transmit waveform and receive filter.Then,an ADMM-based algorithm is proposed to jointly optimize the transmit waveform and receive filter,which ensures the detection performance of MIMO radar using one-bit DACs/ADCs.5.To handle the problem of joint transmit waveform and receive filter design for massive MIMO radar with one-bit DACs/ADCs and multiple targets,an alternating optimization framework with low computational complexity and low memory consumption is proposed.In contrast to the existing methods,the proposed joint design algorithm not only ensures the output SINRs of multiple targets but also significantly decreases the computational complexity and memory consumption,especially in massive MIMO radar context.Finally,representative simulation experiments are conducted to support the theoretical analyses and evaluate the performance of the proposed algorithms. |
